An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

MODIS Assimilation and Processing Engine

Using GEE to collect and discover land surface temperature data over European river basins.

Jupyter notebooks created for use in a training session on the topic of drought forecasting via satellite:artificial_satellite:. This repo contains the scripts needed to pre-process MODIS data and apply Gaussian Processes to time-series in order to forecast VCI :chart_with_upwards_trend:.

Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model

MODIS Mosaic of Antarctica

Análisis y construcción de modelo de calidad del aire - Sitio: Comunidad de Valencia (España)

Python package to crawl and analyze historical satellite images (MODIS) of volcano hotspots and filter clouds via spectral imaging

Relating (soil) droughts to spectral indices

Using GEE to collect and discover land surface temperature data over custom location input.

NASA Space Apps Challenge 2020 submission. Team: Garlic Bread

Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem

GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.

Phoenix is a realtime forest-fire prediction app | NASA Space Apps Challenge 2020 | Global Nominee

Distributed Remote Sensing Processing

UPC Artificial Intelligence with Deep Learning. Wildfire prediction using Semantic Segmentation on satellite imagery

This is the code used in my masters thesis research.

This repo contains javascript code used in Google Earth engine to perform various Geospatial Data analysis tasks on satellite data. The code utilizes Google earth engines own archive of Satellite data.